Description review

Senior Consultant - Power BI&A | Remote

TASQ Staffing Solutions · United States · back to the listing

HR standards

49/100

poor

Title ↔ description

71/100

solid

Reads as

Data Analyst

97% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 29 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Responsibilities

• Conduct customer discovery meetings to determine reporting requirements

• Understand and work with customer on Power BI Licensing, and understand the limits/advantages of each licensing platform

• Create well performing star schema data models for use with Power BI, including proper calculated columns and measures

• Creating Power BI solutions for customers including importing data from multiple sources, building reports and dashboards, and creating appropriate data elements using DAX and source queries

• Guide customers on deploying Power BI solutions to the Power BI service (Gateways, DirectQuery, DataFlows, Data Updates)

Qualifications

• Bachelor's degree in computer, engineering, data science or a related field; or equivalent work experience

• 5+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (SSRS, Power BI, or PowerPivot (Excel) or PerformancePoint), or other vendor Business Intelligence tools (Business Objects, MicroStrategy, Qlik, SAP)

• Working knowledge of TSQL, data modeling, reporting using Power BI or other Microsoft tools

• Experience creating complete Power BI report solutions based on business questions with linked content, drilldowns, and nested parameters

• Dynamic measure designs using advanced DAX techniques

• Knowledge of data mashups and transformations using Power Query/M language

• Utilize Databricks platform to develop, implement, and optimize data pipelines and workflows.

• Ability to report visual choices and visual interactions

• Design, develop and implement user interfaces to ensure ease of use and minimal knowledge by the functional work group that will be using the database

• Ability to gather requirements and conduct focus groups to determine the processes needed to assist and grow the business

Professional Skills:

• Eagerness to contribute in a team-oriented environment

• Excellent communication (written and oral) and interpersonal skills for both technical and nontechnical teams

• Passionate about learning new technologies

• Analytical approach to problem-solving; ability to use technology to solve business problems

• Ability to work in a fast-paced environment

Additional Preferred Experience:

• Power BI tenant and workspace management to support development, testing and deployment

• Experience with analytics and custom visualizations for Power BI using Python, R

• Advanced SQL including some query tuning

• Experience in the identification of data quality

• Experience deploying Power BI solutions to the Power BI Report Server (on-premises)

• Experience deploying Power BI solutions using Power BI Embedded

• Deploying cloud-based solutions using Microsoft Azure data services including Azure Data Factory, Azure Data Lake, and Azure SQL DB

Additional Details:

• Work arrangement: Remote with equipment provided

• Work schedule: 5PM - 2AM Monday - Friday

Originally posted on Himalayas